Top 24 Kubernetes Jobs in Hagerstown, Md

IT Operations Technical Lead
Axle —Frederick, MD
- $150,000 - $170,000 a year
- Azure
- 5 years
- System design
- Paid holidays
- Health insurance
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Senior Full Stack Application Developer
Integration Resolve, Inc. —Frederick, MD
- $120,000 - $175,000 a year
- Full-time
- Azure
- Computer Science
- Bachelor of Science
- Profit sharing
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Cloud Automation Engineer
Govcio LLC —Kearneysville, WV
- $110,000 - $135,000 a year
- Full-time
- Hybrid work
- Azure
- High school
- 5 years
6d
AI Research Computing Infrastructure Engineer
Frederick National Laboratory —Frederick, MD
- $123,800 - $207,125 a year
- Full-time
- Azure
- System design
- AWS
Senior ColdFusion Engineer
Insight Service Group, ISG —United States
- $100,000 - $115,000 a year
- Full-time
- Background check
- Computer science
- Computer Science
- Health savings account
- Health insurance
Quick Apply
Application Security Engineer
H.W. Kaufman Group —United States
- Full-time
- Remote
- 5 years
- Salesforce
- Analysis skills
Senior Java API Developer
CGI Group, Inc. —United States
- $57,100 - $154,300 a year
- Writing skills
- Office
- Mentoring
- Paid parental leave
- Paid holidays
7d
Software Architect
CGI Group, Inc. —United States
- $57,100 - $154,300 a year
- Azure
- Computer Science
- 8 years
- Paid parental leave
- Paid holidays
7d

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kubernetes jobs near hagerstown, md

IT Operations Technical Lead

Axle -
Frederick, MD

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Job Details

$150,000 - $170,000 a year

Benefits

Paid holidays
Health insurance
Dental insurance
Flexible spending account
Paid time off
401(k) 5% Match
Vision insurance
401(k) matching
Referral program

Qualifications

Linux support
Continuous deployment
Load balancers
Tooling
Infrastructure as Code (IaC)
Operational management
High-performance computing clusters
IT system monitoring
Configuration management
Operating system updates
Managing IT teams
Server updates
Managing engineering teams
Patch management
Cloud service support
Release management
Distributed systems
Production monitoring
Vulnerability management
IP networking
System deployment
Windows support
Cloud automation
Operational excellence initiatives
Network monitoring tools
DevOps automation
Cloud monitoring
Server management automation
Project leadership
Incident response implementation

Full Job Description

(ID: 2026-1538)

Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).

Benefits We Offer:

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)

Axle is seeking an IT Operations Technical Lead to oversee and optimize hybrid cloud and on-premise infrastructure. This role combines hands-on technical leadership with ITIL-based operations, automation, and incident management. The ideal candidate brings deep Linux expertise and a focus on reliability, scalability, and modern workloads like AI/ML.

Responsibilities:

Lead and manage IT operations aligned with ITIL processes including Incident, Problem, Change, and Release Management
Provide hands-on leadership in managing Linux and Windows environments across cloud and on-premises infrastructure
Own and drive incident response, root cause analysis, and service restoration for mission-critical systems
Design, build, and maintain golden images, patching strategies, and system hardening standards
Lead patch management and vulnerability remediation programs ensuring compliance and system integrity
Develop and implement automation solutions using modern approaches including Vibe Coding (AI-assisted development) to accelerate operational efficiency and reduce toil
Support and optimize infrastructure for AI/ML workloads, including provisioning, scaling, and performance tuning
Manage and maintain GPU-enabled environments and instances for high-performance computing and machine learning use cases
Oversee and optimize infrastructure monitoring, logging, alerting, and observability frameworks
Manage and mentor a team of systems engineers; provide technical guidance and performance oversight
Collaborate with architecture, security, and development teams to improve reliability, scalability, and operational efficiency
Support hybrid environments including cloud platforms and on-premise data centers
Ensure proper documentation, runbooks, SOPs, and operational readiness
Stay abreast of new technologies in your areas but not limited to US Federal Standards, NIST Publications, cloud computing & deployment, site reliability engineering, security standards and compliance best practices etc.

Requirements:

Must have 5+ years of experience leading operations team with hands-on experience in driving operational process improvements and technological advancements.
Proven experience implementing and operating within ITIL frameworks
Must have 10+ years of hands-on Unix/Linux experience that includes specific technical experience with CentOS / Red Hat systems administration support for large scale distributed environments
Hands-on experience with incident management, patching, system hardening, and production support
Experience building and maintaining golden images and standardized environments
Strong scripting/automation skills (e.g., Python, Bash, PowerShell or similar)
Experience with configuration management and automation tools (Ansible, Terraform, Puppet, Chef, or similar)
Strong understanding of networking fundamentals (DNS, TCP/IP, firewalls, load balancing)
Experience with monitoring and logging tools (e.g., Nagios, Splunk, ELK, Prometheus, Grafana)
Must have Cloud Build-Out or Migration experience in at least one of the following providers Amazon AWS, Google GCP and Microsoft Azure
Must have 2+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub
Experience supporting AI/ML workloads or data-intensive platforms
Familiarity with GPU-based compute environments (e.g., NVIDIA GPU instances)
Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project
Knowledge of security best practices and compliance frameworks such as NIST 800-53, FedRAMP, FISMA etc. are preferred
Certifications such as ITIL, Linux, AWS, Azure, or Kubernetes (CKA/CKAD) is preferred
Networking certifications (CCNA/CCNP) are a plus

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.

The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.

Accessibility: If you need an accommodation as part of the employment process please contact: [email protected]

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.

#IND

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kubernetes jobs in hagerstown, md

IT Operations Technical Lead

Senior Full Stack Application Developer

Cloud Automation Engineer

AI Research Computing Infrastructure Engineer

Senior ColdFusion Engineer

Application Security Engineer

Senior Java API Developer

Software Architect

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